Deepak Ravikumar

29 papers A* 5C 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Clutter to Clarity: Visual Recognition through Foveated Object-Centric Learning (FocL).
Trans. Mach. Learn. Res.
Amitangshu Mukherjee, Deepak Ravikumar, Kaushik Roy
2026 J jnl
Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories.
CoRR
Praditha Alwis, Soumyadeep Chandra, Deepak Ravikumar, Kaushik Roy
2025 C conf
Building Resilient AI: Strengthening Data, Security, and Robustness in Neural Networks.
IOLTS
Deepak Ravikumar, Jimmy Gammell, Kaushik Roy
2025 J jnl
Coresets from Trajectories: Selecting Data via Correlation of Loss Differences.
CoRR
Manish Nagaraj, Deepak Ravikumar, Kaushik Roy
2025 J jnl
Coresets from Trajectories: Selecting Data via Correlation of Loss Differences.
Trans. Mach. Learn. Res.
Manish Nagaraj, Deepak Ravikumar, Kaushik Roy
2025 J jnl
Finding the Muses: Identifying Coresets through Loss Trajectories.
CoRR
Manish Nagaraj, Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy
2025 J jnl
GradientSpace: Unsupervised Data Clustering for Improved Instruction Tuning.
CoRR
Shrihari Sridharan, Deepak Ravikumar, Anand Raghunathan, Kaushik Roy
2025 — conf
Improved Out-of-Distribution Detection with Additive Angular Margin Loss.
CVPR Workshops
Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy
2025 A* conf
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness.
AAAI
Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy
2025 J jnl
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning.
CoRR
Manish Nagaraj, Sakshi Choudhary, Utkarsh Saxena, Deepak Ravikumar, Kaushik Roy
2025 J jnl
The Easy Path to Robustness: Coreset Selection using Sample Hardness.
CoRR
Pranav Ramesh, Arjun Roy, Deepak Ravikumar, Kaushik Roy, Gopalakrishnan Srinivasan
2025 A* conf
Towards Memorization Estimation: Fast, Formal and Free.
ICML
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
2024 J jnl
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation.
CoRR
Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy
2024 A* conf
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature.
NeurIPS
Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy
2024 J jnl
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature.
CoRR
Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy
2024 J jnl
DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis.
Trans. Mach. Learn. Res.
Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy
2024 J jnl
Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning.
Trans. Mach. Learn. Res.
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
2024 J jnl
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service.
CoRR
Deepak Ravikumar, Alex Yeo, Yiwen Zhu, Aditya Lakra, Harsha Nagulapalli, Santhosh Ravindran, Steve Suh, Niharika Dutta, Andrew Fogarty, Yoonjae Park, Sumeet Khushalani, Arijit Tarafdar, Kunal Parekh, Subru Krishnan
2024 J jnl
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service.
Proc. VLDB Endow.
Deepak Ravikumar, Alex Yeo, Yiwen Zhu, Aditya Lakra, Harsha Nagulapalli, Santhosh Ravindran, Steve Suh, Niharika Dutta, Andrew Fogarty, Yoonjae Park, Sumeet Khushalani, Arijit Tarafdar, Kunal Parekh, Subru Krishnan
2024 A* conf
Memorization Through the Lens of Curvature of Loss Function Around Samples.
ICML
Isha Garg, Deepak Ravikumar, Kaushik Roy
2024 A* conf
Unveiling Privacy, Memorization, and Input Curvature Links.
ICML
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
2024 J jnl
Unveiling Privacy, Memorization, and Input Curvature Links.
CoRR
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
2024 J jnl
Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples.
CoRR
Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy
2023 J jnl
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning.
CoRR
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
2023 J jnl
Intra-Class Mixup for Out-of-Distribution Detection.
IEEE Access
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
2023 J jnl
TREND: Transferability-Based Robust ENsemble Design.
IEEE Trans. Artif. Intell.
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
2022 J jnl
Norm-Scaling for Out-of-Distribution Detection.
CoRR
Deepak Ravikumar, Kaushik Roy
2020 J jnl
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection.
CoRR
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy
2020 J jnl
TREND: Transferability based Robust ENsemble Design.
CoRR
Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy